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Analyze audio structure, rhythm, and key with structured JSON and visual outputs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "beatlyzer-mcp" yet — see the docs or source repo.
Analyze this audio file and extract BPM, key, verse/chorus sections, beat drops, and loudness changes. Return the results as JSON and include a visualization summary.
Structured JSON with tempo, key, section breakdown, and dynamic changes, plus charts or a visualization summary.
Analyze this background track and identify the best beat drops, volume surges, and highlight moments for transitions and beat-synced editing. List them with timestamps.
A time-ordered list of key sync points with event type, intensity, and suggested editing use.
Compare these two audio files in terms of BPM, key, brightness, overall loudness, and structure, and generate a program-friendly JSON comparison.
A structured comparison showing similarities, differences, and measurable audio feature metrics for both tracks.
Analyze audio files for exact metrics used in intelligent DAW control.
Inspect local audio files with playback, metadata, loudness, and spectrogram analysis.
Compose music with theory lookups, rhythm generation, and deterministic MIDI rendering.
Transcribe audio into structured notes with speakers, timestamps, summaries, and action items.
Create electronic music in Ableton Live with AI-guided genre-aware production.
Connect Ableton Live with AI for project inspection, control, and audio analysis.